A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models

Understand

In recent years, with the advent of massive computational power and the availability of huge amounts of data, Deep neural networks have enabled the exploration of uncharted areas in several domains.

• But at times, they under-perform due to insufficient data, poor data quality, data that might not be covering the domain broadly, etc.
• Knowledge-based systems leverage expert knowledge for making decisions and suitably take actions.
• Such systems retain interpretability in the decision-making process.